birt code 128

birt code 128

birt code 128

birt code 128

birt code 128

birt code 128,
birt code 128,
birt code 128,

birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,

birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,

birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,
birt code 128,

Use the Inverse Command to Select the Opposite Use Keyboard Commands to Quickly Add to and Delete from Existing Selections Use Multiple Tools Together for Quick Complex Selections Use the Magic Eraser to Remove Areas of Color with a Single Click Remove Fringe Areas to Clean Up Selections Use the Single Row and Single Column Marquee Tools to Create Quick Borders Stroke Selections to Create Quick Borders Save Selections for Future Use Use the Snap To Feature to Assist in Drawing Selections Copy Selections from One Image/Application to Another Export Paths to Illustrator Transform Selections with the Transform Command Use the Pen Tools to Make Detailed, Easily Changeable Selections Use the Magnetic Tools to Assist in Drawing Selections Save Selections as Clipping Paths to Define Transparent Sections of an Image Use the Color Range Command to Select Precise Areas of Color Use the Extract Command to Remove Objects from Complex Backgrounds

select last_name, salary from employees where job_id='SA_REP';

The JOB_ID column of every row in the EMPLOYEES table is tested for equality with the character literal SA_REP For character information to be equal, there must be an exact case-sensitive match When such a match is encountered, the values for the projected columns, LAST_NAME and SALARY, are returned for that row Note that although the conditional clause is based on the JOB_ID column, it is not necessary for this column to be projected by the query Inequality-based conditions enhance the WHERE clause specification Range and pattern matching comparisons are possible using inequality and equality operators, but it is often preferable to use the BETWEEN and LIKE operators for these comparisons The inequality operators are described in Table 9-3 Inequality operators allow range-based queries to be fulfilled You may be required to provide a set of results where a column value is greater than another value The following query may be issued to obtain a list of LAST_NAME and SALARY values for employees who earn more that $5000:

select last_name, salary from employees where salary > 5000;

6

The composite inequality operators (made up of more than one symbol) are utilized in the following clauses: Clause 1: where salary <= 3000; Clause 2: where salary <> department_id; Clause 1 returns those rows that contain a SALARY value that is less than or equal to 3000 Clause 2 demonstrates one of the two forms of the not equal to operators Clause 2 returns the rows that have SALARY column values that are not equal to the DEPARTMENT_ID values

< > <= >= <> !=

Numeric inequality is naturally intuitive The comparison of character and date terms, however, is more complex Testing character inequality is interesting because the strings being compared on either side of the inequality operator are converted to a numeric representation of its characters Based on the database character set and NLS (National Language Support) settings, each character string is assigned a numeric value These numeric values form the basis for the evaluation of the inequality comparison Consider the following statement: PART II

Turn On Thumbnail Views to Help Layer Recognition Name Layers for Easy Recognition Group Related Layers into Sets Link Layers to Transform Multiple Layers at Once Merge Layers to Reduce File Size Align and Distribute Elements on Multiple Layers Right-Click (CTRL-Click) to Jump to the Target Layer Lock Layers to Protect Their Contents Adjust Opacity to Allow Layers Beneath to Show Through Use Layer Styles to Customize Special Effects Add Adjustment and Fill Layers to Adjust Color on Single Layers Instead of Entire Images Use Clipping Groups to Mask One Layer with the Contents of Another Use Masks to Temporarily Hide Parts of Layers

select last_name from employees where last_name < 'King';

The character literal King is converted to a numeric representation Assuming a US7ASCII database character set with AMERICAN NLS settings, the literal King is converted into a sum of its ordinal character values: K + i + n + g = (75+105+110+103=393) For each row in the EMPLOYEES table, the LAST_NAME column data is similarly converted to a numeric value If this value is less than 393, then the row is selected The same process for comparing numeric data using the inequality operators applies to character data Inequality comparisons operating on date values follow a similar process to character data The Oracle server stores dates in an internal numeric format, and these values are compared within the conditions Consider the following query:

171 172 174 177 178 180 183 184 186 186 189 193 196

select last_name from employees where hire_date < '01-JAN-2000';